作者: 不透明性 時(shí)間: 2025-3-21 23:50 作者: 疏忽 時(shí)間: 2025-3-22 02:56 作者: 同時(shí)發(fā)生 時(shí)間: 2025-3-22 08:06 作者: 把手 時(shí)間: 2025-3-22 10:14
Local Minima of a Quadratic Binary Functional with a Quasi-Hebbian Connection Matrix quasi-Hebbian expansion where each pattern is supplied with its own individual weight. For such matrices statistical physics methods allow one to derive an equation describing local minima of the functional. A model where only one weight differs from other ones is discussed in details. In this case作者: 智力高 時(shí)間: 2025-3-22 15:08 作者: 迅速飛過(guò) 時(shí)間: 2025-3-22 17:38
Learning a Combination of Heterogeneous Dissimilarities from Incomplete Knowledge of a good dissimilarity is a difficult task because each one reflects different features of the data. Therefore, different dissimilarities and data sources should be integrated in order to reflect more accurately which is similar for the user and the problem at hand..In many applications, the user 作者: 豐滿有漂亮 時(shí)間: 2025-3-22 21:14 作者: 劇毒 時(shí)間: 2025-3-23 01:22
Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors. Such architectures, however, achieve state-of-the-art results on low-resolution machine vision tasks such as recognition of handwritten characters. We have adapted the inherent multi-level parallelism of CNNs for Nvidia’s CUDA GPU architecture to accelerate the training by two orders of magnitude.作者: 和音 時(shí)間: 2025-3-23 08:00
Evaluation of Pooling Operations in Convolutional Architectures for Object Recognitioner, the differences between those models makes a comparison of the properties of different aggregation functions hard. Our aim is to gain insight into different functions by directly comparing them on a fixed architecture for several common object recognition tasks. Empirical results show that a max作者: 山頂可休息 時(shí)間: 2025-3-23 10:55
Visual Shape Recognition Neural Network Using BESOM Model. First, the network is based on the BESOM model, which is a computational model of the cerebral cortex. Second, the Gabor filter, a model of a simple cell in the primary visual area, is used to calculate input features. Third, the network structure mimics the ventral visual pathway of the brain, wh作者: reject 時(shí)間: 2025-3-23 17:24
Comparing Feature Extraction Techniques and Classifiers in the Handwritten Letters Classification Pr Analysis (PCA) and also to compare two different kinds of classifiers, Neural Networks and Support Vector Machine (SVM). To this aim, a system for handwritten letters recognition was developed, which consist of two stages: a feature extraction stage using either ICA or PCA, and a classifier based o作者: DEMUR 時(shí)間: 2025-3-23 20:05
The Parameter Optimization of the Pulse Coupled Neural Network for the Pattern Recognitione defined empirically and the optimization of parameters has been known as a remaining problem of PCNN. In this study, we show a method to apply the real coded genetic algorithm to the parameter optimization of the PCNN and we also show performances of pattern recognition by the PCNN with learned pa作者: 小淡水魚(yú) 時(shí)間: 2025-3-23 22:43 作者: 細(xì)頸瓶 時(shí)間: 2025-3-24 03:26
Detecting DDoS Attack towards DNS Server Using a Neural Network Classifierthis paper we present a neural network approach to detecting the DDoS attacks towards the domain name system. A multi-layer feed-forward neural network is employed as a classifier based on the selected features that reflect the characteristics of DDoS attacks. The performance and the computational e作者: 無(wú)法治愈 時(shí)間: 2025-3-24 09:00
Classification Based on Multiple-Resolution Data Viewters of the estimators are adjusted to minimize the classification error. We propose properties of the data for which our algorithm should yield better results than the basic version of the method. Next, we generate data with postulated properties and conduct numerical experiments. Analysis of the r作者: 辭職 時(shí)間: 2025-3-24 12:26
Identification of the Head-and-Shoulders Technical Analysis Pattern with Neural Networks network we use actual patterns that were identified in stochastically simulated price series by means of a rule-based algorithm. Then the patterns are being converted to binary images, in a manner similar to the one used in hand-written character and digit recognition. Our approach is tested on new作者: giggle 時(shí)間: 2025-3-24 17:22
Analyzing Classification Methods in Multi-label Tasksnnotation of images. This paper presents a comparative analysis of some existing multi-label classification methods applied to different domains. The main aim of this analysis is to evaluate the performance of such methods in different tasks and using different evaluation metrics.作者: inspired 時(shí)間: 2025-3-24 19:34 作者: 殘暴 時(shí)間: 2025-3-24 23:57
Conference proceedings 2010ng structure inspired by biolo- cal nervous systems and they consist of a large number of highly interconnected processing elements (neurons). Each neuron is a simple processor with a limited computing capacity typically restricted to a rule for combining input signals (utilizing an activation funct作者: 主講人 時(shí)間: 2025-3-25 06:32 作者: 樂(lè)意 時(shí)間: 2025-3-25 09:44
Manufacturing and Mechanical Propertiesorithm. A smoothing term is included that penalizes the complexity of the family of distances and avoids overfitting..The experimental results suggest that the method proposed outperforms a standard metric learning algorithm and improves classification and clustering results based on a single dissim作者: 省略 時(shí)間: 2025-3-25 13:57
0302-9743 sist of a large number of highly interconnected processing elements (neurons). Each neuron is a simple processor with a limited computing capacity typically restricted to a rule for combining input signals (utilizing an activation funct978-3-642-15824-7978-3-642-15825-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Distribution 時(shí)間: 2025-3-25 19:27 作者: 護(hù)身符 時(shí)間: 2025-3-25 22:10
Applications of Communications Theorye defined empirically and the optimization of parameters has been known as a remaining problem of PCNN. In this study, we show a method to apply the real coded genetic algorithm to the parameter optimization of the PCNN and we also show performances of pattern recognition by the PCNN with learned parameters.作者: vibrant 時(shí)間: 2025-3-26 02:13 作者: Criteria 時(shí)間: 2025-3-26 05:01
Konstantinos Diamantaras,Wlodek Duch,Lazaros S. IlFast track conference proceeding.Unique visibility.State-of-the-art research作者: 龍卷風(fēng) 時(shí)間: 2025-3-26 08:42 作者: AVID 時(shí)間: 2025-3-26 13:57 作者: 中和 時(shí)間: 2025-3-26 18:00 作者: 人類 時(shí)間: 2025-3-26 23:27 作者: 不可侵犯 時(shí)間: 2025-3-27 01:32 作者: 使成整體 時(shí)間: 2025-3-27 08:11 作者: 寡頭政治 時(shí)間: 2025-3-27 12:55
https://doi.org/10.1007/978-3-662-52764-1 to neural networks provides a statistically justified subspace method of classification. The underlying structural mixture model includes binary structural parameters and can be optimized by EM algorithm in full generality. Formally, the structural model reduces the number of parameters included an作者: 演講 時(shí)間: 2025-3-27 17:29
https://doi.org/10.1007/978-3-662-52764-1 quasi-Hebbian expansion where each pattern is supplied with its own individual weight. For such matrices statistical physics methods allow one to derive an equation describing local minima of the functional. A model where only one weight differs from other ones is discussed in details. In this case作者: corpus-callosum 時(shí)間: 2025-3-27 19:16 作者: nitric-oxide 時(shí)間: 2025-3-27 22:16 作者: CORE 時(shí)間: 2025-3-28 02:40 作者: Adj異類的 時(shí)間: 2025-3-28 09:00
https://doi.org/10.1007/978-3-662-52764-1. Such architectures, however, achieve state-of-the-art results on low-resolution machine vision tasks such as recognition of handwritten characters. We have adapted the inherent multi-level parallelism of CNNs for Nvidia’s CUDA GPU architecture to accelerate the training by two orders of magnitude.作者: 水槽 時(shí)間: 2025-3-28 10:58
Optical Detectors and Receiverser, the differences between those models makes a comparison of the properties of different aggregation functions hard. Our aim is to gain insight into different functions by directly comparing them on a fixed architecture for several common object recognition tasks. Empirical results show that a max作者: 抱狗不敢前 時(shí)間: 2025-3-28 16:43 作者: febrile 時(shí)間: 2025-3-28 22:20 作者: Indelible 時(shí)間: 2025-3-29 02:39 作者: abysmal 時(shí)間: 2025-3-29 05:10 作者: 冥界三河 時(shí)間: 2025-3-29 10:19
Fiber Optic Communications: A Review,this paper we present a neural network approach to detecting the DDoS attacks towards the domain name system. A multi-layer feed-forward neural network is employed as a classifier based on the selected features that reflect the characteristics of DDoS attacks. The performance and the computational e作者: ASSAY 時(shí)間: 2025-3-29 14:46 作者: 花費(fèi) 時(shí)間: 2025-3-29 18:03 作者: profligate 時(shí)間: 2025-3-29 23:43
https://doi.org/10.1007/978-3-319-44570-0nnotation of images. This paper presents a comparative analysis of some existing multi-label classification methods applied to different domains. The main aim of this analysis is to evaluate the performance of such methods in different tasks and using different evaluation metrics.作者: 拍下盜公款 時(shí)間: 2025-3-30 00:15
Hamidou F. Sakhanokho,Kanniah Rajasekaranault coordination modes, such as the preference for in-phase or anti-phase movements. The objective of our work is to make robots learn bimanual coordination in a way that they can produce variations of the learned movements without further training. In this paper we study an artificial system that 作者: Hyperopia 時(shí)間: 2025-3-30 07:03 作者: Fantasy 時(shí)間: 2025-3-30 11:31
Analyzing Classification Methods in Multi-label Tasksnnotation of images. This paper presents a comparative analysis of some existing multi-label classification methods applied to different domains. The main aim of this analysis is to evaluate the performance of such methods in different tasks and using different evaluation metrics.作者: 佛刊 時(shí)間: 2025-3-30 14:27
Fiber Parameter Studies with the OTDRs has been done, but with cost functions that scale quadratically. Training a bottleneck classifier scales linearly, but still gives results comparable to or sometimes better than two earlier supervised methods.作者: Ige326 時(shí)間: 2025-3-30 18:00
J. J. Mecholsky,S. W. Freiman,S. M. Moreyexpression microarray datasets of different kinds of cancer. A comparative study with other classifiers such as Support Vector Machine (SVM), C4.5, na?ve Bayes and k-Nearest Neighbor is performed. Our approach shows excellent results outperforming all other classifiers.作者: 漫不經(jīng)心 時(shí)間: 2025-3-31 00:02
https://doi.org/10.1007/978-3-662-52764-1The quality of the predictor is tested on a large test set of eye movement data and compared with the performance of two state-of-the-art saliency models on this data set. The proposed model demonstrates significant improvement – mean ROC score of 0.665 – over the selected baseline models with ROC scores of 0.625 and 0.635.作者: 嗎啡 時(shí)間: 2025-3-31 01:14 作者: Ischemia 時(shí)間: 2025-3-31 05:10 作者: CHASE 時(shí)間: 2025-3-31 11:39 作者: Infant 時(shí)間: 2025-3-31 14:21
Deep Bottleneck Classifiers in Supervised Dimension Reductions has been done, but with cost functions that scale quadratically. Training a bottleneck classifier scales linearly, but still gives results comparable to or sometimes better than two earlier supervised methods.作者: aspect 時(shí)間: 2025-3-31 19:15
Local Modeling Classifier for Microarray Gene-Expression Dataexpression microarray datasets of different kinds of cancer. A comparative study with other classifiers such as Support Vector Machine (SVM), C4.5, na?ve Bayes and k-Nearest Neighbor is performed. Our approach shows excellent results outperforming all other classifiers.作者: 有法律效應(yīng) 時(shí)間: 2025-4-1 00:19
A Learned Saliency Predictor for Dynamic Natural ScenesThe quality of the predictor is tested on a large test set of eye movement data and compared with the performance of two state-of-the-art saliency models on this data set. The proposed model demonstrates significant improvement – mean ROC score of 0.665 – over the selected baseline models with ROC scores of 0.625 and 0.635.作者: Chronic 時(shí)間: 2025-4-1 03:44
A Bilinear Model for Consistent Topographic Representationslication to natural inputs placed at different positions and with a consistent relative transformation (e.g. rotation), leads to an invariant topographic output representation and hence a relative implementation of the transformation in the control units, i.e. the Gabor receptive fields are transformed accordingly.作者: 消瘦 時(shí)間: 2025-4-1 07:15 作者: 濕潤(rùn) 時(shí)間: 2025-4-1 13:01
Comparing Feature Extraction Techniques and Classifiers in the Handwritten Letters Classification Pr our tests, it can be concluded that when a neural network is used as classifier, the results are very similar with the two feature extraction techniques (ICA and PCA). But when the SVM classifier is used, the results are quite different, performing better the feature extractor based on ICA.作者: negligence 時(shí)間: 2025-4-1 14:32
Computational Properties of Probabilistic Neural Networksd therefore the structural mixtures become less complex and less prone to overfitting. We illustrate how recognition accuracy and the effect of overfitting is influenced by mixture complexity and by the size of training data set.
